Telephone: 0208 942 5724
Email: info@aspecttraining.co.uk
YOUR COURSE, YOUR WAY - MORE EFFECTIVE IT TRAINING - NOW VIRTUALLY
Telephone: 0208 942 5724
Email: info@aspecttraining.co.uk
YOUR COURSE, YOUR WAY - MORE EFFECTIVE IT TRAINING
Do you get overwhelmed by complicated lingo and want a course that is easy to follow, detailed and presented to make the process enjoyable?
If so, our “R Programming for Beginners” is THE course for you!
It covers the most essential topics you must learn to begin programming with R.
With more than two million global users, the R language is rapidly turning into a top programming language specifically in the space of data science as well as statistics. What you are going to learn on this course is how to master the fundamentals of the open-source programming language which includes vectors, data frames and lists.
No prerequisites are required for this course
A Brief History of R
What exactly is R Programming
What are the benefits of using R language
Entering Commands in the Console Window
Performing simple calculations
Using a Function
Storing calculated values
Sourcing a Script
Expressions
Constants
Arithmetic
Conditions
Function calls
Symbols
Keywords
Naming Variables
Ways to vectorize Functions
Passing Arguments to Functions
Making your code plain and readable
Finding R Packages
Installing a Package
Loading and unloading Packages
Arithmetic Operators
Using Mathematical Functions
Logarithms and Exponentials
Infinity Function
Dealing with lost values
Creating Vectors
Combining Vectors
Repeating Vectors
Getting values in and out of Vectors
The Indexing System
Extracting values from Vectors
Changing Vector values
Comparing values
Vectors as Indices
Merging Logical statements
Creating and assigning Named Vectors
Manipulating text
Splitting text
Concatenating text
Date Functions
Adding Time Details to Dates
Creating a Matrix
Ways to combine Vectors into Matrix
Calculating with Matrices
Building a Data-Frame from a Matrix
Other ways to create a Data-Frame
Manipulating Data Frame values
Extracting Data-Frame values
Assuming Data-Frames as a Matrix
Creating a List
Unnamed Lists
Named Lists
Combining Lists
Creating a Script
Transforming a Script into a Function
Using the Function
Using Arguments, the smart way
The ‘multiply’ Argument
Default values
If statements
If…Else statements
For Loop
Computing values in a For Loop
Error Types
Interpreting warnings and errors
Browsing through a Function
Entering Data in the Text Editor
Using the Clipboard
Importing Data
Exporting Data
Choosing the right Data-Structure
Basic Subset Operators
Specifying the Subset
Summarising your Data
Counting unique values
Preparing Data
Using Base Graphics
Creating Plots
Adding points to a Plot
Creating a Lattice Plot
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